dcapwell commented on code in PR #4257:
URL: https://github.com/apache/cassandra/pull/4257#discussion_r2211246184
##########
src/java/org/apache/cassandra/index/accord/RangeMemoryIndex.java:
##########
@@ -58,13 +63,51 @@ public class RangeMemoryIndex
{
@GuardedBy("this")
- private final Map<Group, RangeTree<byte[], Range, DecoratedKey>> map = new
HashMap<>();
- @GuardedBy("this")
- private final Map<Group, Metadata> groupMetadata = new HashMap<>();
+ private final Map<Key, Group> map = new HashMap<>();
- private static class Metadata
+ private static class Group
{
+ private RangeTree<byte[], Range, DecoratedKey> tree =
createRangeTree();
public byte[] minTerm, maxTerm;
+ public TxnId minTimestamp = TxnId.MAX;
+ public TxnId maxTimestamp = TxnId.NONE;
+
+ void add(Range range, DecoratedKey key, TxnId txnId, byte[] start,
byte[] end)
+ {
+ tree.add(range, key);
+ minTerm = minTerm == null ? start :
ByteArrayUtil.compareUnsigned(minTerm, 0, start, 0, minTerm.length) > 0 ? start
: minTerm;
+ maxTerm = maxTerm == null ? end :
ByteArrayUtil.compareUnsigned(maxTerm, 0, end, 0, maxTerm.length) < 0 ? end :
maxTerm;
+ if (minTimestamp.compareTo(txnId) > 0)
+ minTimestamp = txnId;
+ if (maxTimestamp.compareTo(txnId) < 0)
+ maxTimestamp = txnId;
+ }
+
+ void search(byte[] start, byte[] end,
+ Timestamp minTimestamp, Timestamp maxTimestamp,
+ Consumer<Map.Entry<RangeMemoryIndex.Range, DecoratedKey>>
fn)
+ {
+ if (this.minTimestamp.compareTo(maxTimestamp) > 0 ||
this.maxTimestamp.compareTo(minTimestamp) < 0)
+ return;
+ tree.search(new Range(start, end), e -> {
+ TxnId id =
AccordKeyspace.JournalColumns.getJournalKey(e.getValue()).id;
Review Comment:
not a fan of this cost, but my thinking is as follows
1) the in-memory cost is the `ByteBuffer`
2) only called when the range intersects, so each call are limited to
possible matches, so just need to do the timestamp filter.
I don't know if min/max are no-op in the common case (i doubt it as it
should be based off durability as far as i can tell), so don't think it really
makes sense to try to optimize the filter to avoid this cost when min/max are
the full range
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